Arithmetic Coding Segmentation for Video Compression
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Solution Overview
Problem
Current image compression methods, such as those in MPEG-1, MPEG-2, and H.264/MPEG-4 AVC, face challenges in efficiently encoding and decoding transformation coefficient information due to high calculation complexity and compressive performance trade-offs between CABAC and bypass arithmetic coding methods.
Innovation Solution
The method classifies the location of the last significant coefficient into prefix and suffix bit strings based on a critical value, independently arithmetic encoding these bit strings using CABAC and bypass arithmetic coding to balance calculation complexity and compressive performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If CABAC method is used for arithmetic encoding, then compressive performance is improved, but calculation complexity increases
Solution Approach 1:
The patent segments the transformation coefficient data into different categories (e.g., significant coefficients, last significant coefficient position, other coefficients) and applies different arithmetic encoding methods to each segment. Specifically, it uses CABAC for certain segments to improve compression while using simpler methods for others to reduce complexity, thereby resolving the contradiction between compressive performance and calculation complexity.
2Device complexity
If bypass arithmetic coding method is used, then calculation complexity is reduced, but compressive throughput decreases
Solution Approach 1:
The patent applies the principle of local quality by using different encoding strategies for different parts of the data. It employs bypass arithmetic coding for segments where high compression is less critical to maintain lower complexity, while using more sophisticated CABAC methods for segments where compression performance is more important, thus balancing complexity and throughput locally across different data segments.
3Loss of information
If CABAC method is used for arithmetic decoding, then compressive performance is improved, but processing speed decreases
Solution Approach 1:
The patent segments the decoding process into multiple stages corresponding to different data categories, applying CABAC decoding only to segments where high compressive performance is essential while using faster bypass decoding for other segments. This segmentation allows the system to achieve good overall compression performance while maintaining higher processing speed by avoiding CABAC decoding throughout the entire data stream.
Data Source
AI summary
Methods and apparatuses for arithmetic encoding/decoding of video data. The arithmetic decoding method includes arithmetically decoding prefix bit strings representing a two-dimensional location of a last significant coefficient in a block sequentially by using a context model, arithmetically decoding suffix bit strings in a bypass mode, and performing inverse binarization on the arithmetically decoded prefix bit strings and suffix bit strings to acquire the location of the last significant coefficient in the block.